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1.
Artigo em Inglês | MEDLINE | ID: mdl-39108105

RESUMO

Antioxidants play a pivotal role in maintaining skin health and integrity, combating the deleterious effects of oxidative stress induced by environmental aggressors such as UV ra-diation, pollution, and lifestyle factors. This paper reviews the contributions of key antioxidants, including Vitamin C, Vitamin E, Vitamin A, green tea extract, Coenzyme Q10, Resveratrol, Selenium, and Polyphenols, in skin health care. Vitamin C, known for its collagen synthesis promotion and photoprotection properties, alongside Vitamin E, a lipid-soluble antioxidant, syn-ergistically works to neutralize free radicals and repair damaged skin cells. Vitamin A, in the form of retinol, plays a critical role in skin cell regeneration and the maintenance of skin integ-rity. Green tea extract, rich in Polyphenols, offers anti-inflammatory and anticarcinogenic prop-erties, making it a potent ingredient for skin protection. Coenzyme Q10, a naturally occurring antioxidant in the body, aids in energy production for cell repair and regeneration, while Resveratrol, found in grapes and berries, provides anti-ageing benefits by enhancing skin's re-sistance to oxidative stress. Selenium, an essential mineral, contributes to the protection of skin cells from oxidative damage. The incorporation of these antioxidants in skincare products and dietary sources is discussed, highlighting the importance of a holistic approach in skincare re-gimes. The paper emphasizes the synergy between topical applications and dietary intake of antioxidants, advocating for a comprehensive strategy for promoting skin health and preventing age-related skin alterations. Method: For the review article, a variety of search engines and databases were used to identify relevant articles. Furthermore, for biomedical literature focusing on antioxidants and their ef-fects on skin health, PubMed was used. Moreover, to access a wide range of scholarly articles, including those related to dermatology and skincare, Google Scholar was used. Scopus provides comprehensive coverage of peer-reviewed literature across various scientific disciplines. Web of Science identifies high-impact articles and research on antioxidants in skincare. In addition, for accessing full-text articles on antioxidants and their applications in dermatology, Science Direct was used. The inclusion criteria for the review paper were as follows: only studies pub-lished in peer-reviewed journals were included to ensure the credibility and reliability of the information. Articles published in English were considered, to avoid language-related biases and ensure comprehension. Studies published within the last 10 years were included to provide the most current insights into antioxidant research in skincare. Articles must specifically focus on the role of antioxidants (Vitamin C, Vitamin E, Vitamin A, green tea extract, Coenzyme Q10, Resveratrol, Selenium, Polyphenols) in skin health care. Both experimental studies (in vivo and in vitro) and clinical trials were included to provide a comprehensive overview of the antioxidant effects. Full-text articles were included to allow for thorough data extraction and analysis. The exclusion criteria for the review paper were as follows: Publications that were not peer-re-viewed, such as editorials, opinion pieces, and non-scholarly articles, were excluded. Articles published in languages other than English were excluded due to potential translation challenges and to maintain consistency. Studies that did not focus on the specified antioxidants or their impact on skin health were excluded. Duplicate publications were excluded to avoid redundancy in the review. Articles with insufficient or incomplete data were excluded to ensure the quality and reliability of the review findings.

2.
Cancer Nanotechnol ; 14(1): 15, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36865684

RESUMO

In the last three decades, radiopharmaceuticals have proven their effectiveness for cancer diagnosis and therapy. In parallel, the advances in nanotechnology have fueled a plethora of applications in biology and medicine. A convergence of these disciplines has emerged more recently with the advent of nanotechnology-aided radiopharmaceuticals. Capitalizing on the unique physical and functional properties of nanoparticles, radiolabeled nanomaterials or nano-radiopharmaceuticals have the potential to enhance imaging and therapy of human diseases. This article provides an overview of various radionuclides used in diagnostic, therapeutic, and theranostic applications, radionuclide production through different techniques, conventional radionuclide delivery systems, and advancements in the delivery systems for nanomaterials. The review also provides insights into fundamental concepts necessary to improve currently available radionuclide agents and formulate new nano-radiopharmaceuticals.

3.
J Intell Inf Syst ; 56(2): 355-377, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33071464

RESUMO

Information dissemination has changed rapidly in recent years with the emergence of social media which provides online platforms for people worldwide to share their thoughts, activities, emotions, and build social relationships. Hence, modeling information diffusion has become an important area of research in the field of network analysis. It involves the mathematical modeling of the movement of information and study the information spread pattern. In this paper, we attempt to model information propagation in online social networks using a nature-inspired approach based on a modified forest-fire model. A slight spark can start a wildfire in a forest, and the spread of this fire depends on vegetation, weather, and topography, which may act as fuel. On similar lines, we labeled users who haven't joined the network yet as E m p t y, existing users as T r e e, and information as F i r e. The spread of information across online social networks depends upon users-followers relationships, the significance of the topic, and other such features. We introduce a novel B u r n t state to the traditional forest-fire model to represent non-spreaders in the network. We validate our method on six real-world data-sets extracted from Twitter and conclude that the proposed model performs reasonably well in predicting information diffusion.

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